Data & AnalyticsAssociate Data Engineer – Client Innovation Center (Entry Level)Entry LevelMultiple Cities

IBM

Not specified; varies based on skills, experience,...
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Strong foundation in computer science fundamentals
Proficiency in python programming language
Hands-on experience with sql and data manipulation
** IBM is seeking an entry-level Associate Data Engineer for their Client Innovation Center, where team members will collaborate closely to develop and maintain data pipelines. The role emphasizes hands-on learning and growth within a collaborative environment, focusing on building foundational skills in data engineering. **

Job Summary

  • This entry-level role focuses on supporting the development and maintenance of data pipelines used for analytics, reporting, and machine learning within IBM Consulting Client Innovation Centers.
  • Associates will collaborate closely with peers and experienced practitioners to design, build, test, and support enterprise applications at scale while receiving structured training and mentorship.
  • IBM offers a comprehensive benefits program including healthcare, 401(k), generous paid time off, and access to an AI-driven learning platform for career growth.

Matching Summary

Match Score: 75

** IBM is seeking an entry-level Associate Data Engineer for their Client Innovation Center, where team members will collaborate closely to develop and maintain data pipelines. The role emphasizes hands-on learning and growth within a collaborative environment, focusing on building foundational skills in data engineering. **

Salary

Not specified; Varies based on skills, experience, and location; Pay increment and frequency in accordance with employment classification

Skills & Requirements

Must-have

  • Strong foundation in computer science fundamentals
  • Proficiency in Python programming language
  • Hands-on experience with SQL and data manipulation
  • Understanding of ETL/ELT concepts
  • Ability to work onsite in collaborative environment

Nice-to-have

  • Exposure to cloud-based data platforms like AWS or Azure
  • Familiarity with Apache Spark or PySpark
  • Knowledge of modern data warehouse technologies
  • Awareness of generative AI concepts
  • Experience with version control tools like Git

Key Requirements

  • Bachelor's Degree required
  • Master's Degree preferred
  • Must be comfortable working onsite

Work Rights

Not specified

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